{"id":"W4395287435","doi":"10.15468/dl.3muv59","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009327036,0.002043884,0.001505302,0.004532141,0.0009131569,0.002490353,0.002737189,0.001910413,0.1693774],"category_scores_gemma":[0.005403611,0.000944485,0.001097252,0.009143501,0.000433067,0.002262089,0.00240482,0.001962115,0.2321093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627125,"about_ca_system_score_gemma":0.002287539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061091,"about_ca_topic_score_gemma":0.03599929,"domain_scores_codex":[0.9989993,0.0001327501,0.0001240771,0.0003588187,0.0002169184,0.000168182],"domain_scores_gemma":[0.9978094,0.0005951592,0.0002147377,0.0005444105,0.0005660942,0.0002702896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002859855,0.00001058714,0.0003529812,0.0004409718,0.00001221473,0.00001262413,0.00001921846,0.0001229878,0.0001016054,0.0003916954,0.9972126,0.001293931],"study_design_scores_gemma":[0.00007137911,0.000007243222,0.00159045,0.0001486134,0.00001168151,0.00002930437,0.00005404755,0.0001525562,0.0001771166,0.0008538179,0.9968874,0.00001648706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003816165,0.00002053378,0.00004280559,0.00003046449,0.00001020504,0.000004485874,0.9988457,0.0003402912,0.0006673264],"genre_scores_gemma":[0.0001515912,0.00002966772,0.0002009569,0.00004562609,0.000003352696,0.00003985146,0.998833,0.0001626202,0.0005332315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8306226,"threshold_uncertainty_score":0.5666238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}